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SeniorВ офисеПолная занятость

Senior Workforce Intelligence Manager

Оценка ИИ

Престижная компания-лидер рынка, высокая заработная плата и возможность работать с передовыми технологиями ИИ. Роль предполагает значительное влияние на стратегию компании.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованиями к образованию (Master's/PhD), огромным опытом (10+ лет) и необходимостью сочетать глубокую экспертизу в HR-аналитике с продвинутыми техническими навыками в SQL и BI.

Анализ зарплаты

Медиана195 000 $
Рынок165 000 $ – 240 000 $
Оценка ИИ

Предложенный диапазон ($172k - $236k) полностью соответствует и даже несколько превышает рыночные стандарты для Senior-позиций в области People Analytics в Сиэтле, особенно учитывая дополнительные бонусы и акции.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Workforce Intelligence Manager position at Databricks. With over a decade of experience at the intersection of People Analytics and data science, I have consistently transformed complex workforce data into strategic assets that drive organizational performance. My background in I/O Psychology, combined with a deep technical proficiency in SQL and BI tools, aligns perfectly with your mission to build an AI-first data foundation for the People function.

At my previous roles, I have successfully led large-scale research initiatives that optimized hiring and retention strategies through predictive modeling. I am particularly drawn to Databricks because of your commitment to using your own world-class Data Intelligence Platform to solve internal challenges. I am eager to leverage my expertise in advanced analytics and SME partnership to help scale your workforce intelligence capabilities and foster a data-driven culture across the global 'Brickster' community.

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Описание вакансии

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Mission

At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

As a Senior Workforce Intelligence Manager with our People Analytics team, you’ll drive insights and impact across our People (HR) function and all of Databricks. You’ll shape our infrastructure, build and scale analytics tools, and craft models aligned with company goals. You'll drive impactful research that shapes decisions about how we hire, train, enable, assess, and coach Bricksters - and more. You’ll apply a current-state lens to People processes as they exist today while helping to transform our future.

Impact You’ll Have:

  • Drive Execution: Own end-to-end outcomes for major initiatives related to people data - from strategy shaping to requirements gathering to product development to initial launch to over-time optimization.
  • Technical Excellence: Develop and enhance our data foundation by building AI-first dashboards, conversational agents, and automated solutions that are scalable and maintainable.
  • SME Partnership: Act as a thought partner to decision-makers, translating workforce intelligence into actionable insights that impact the performance of individual employees and the company overall.
  • Advanced Analytics: Design and execute complex analyses to predict trends, account for business context, and prescribe actions related to hiring, retention, or employee engagement.
  • Automation: Convert recurring analysis requests into self-service tools, enabling leaders to make data-driven decisions independently.
  • Enablement & Capability-Building: Support users to effectively interpret, interact with, and act on workforce insights. Produce toolkits, training, and resources that drive people data fluency and impact.
  • Product Expertise & Innovation: Gain expertise in, and represent, our company products and services - staying current with features and releases from Databricks while attending to emerging best practices in people analytics and HR.

Who You Are:

  • Education: You’ve earned a Master’s or PhD in a field related to workforce research and analytics (e.g., I/O Psychology, Sociology, Organizational Behavior).
  • Experience: You have 10+ years of professional experience leading large-scale research and analytics projects with/for People/HR functions.
  • Technical Skills: You have advanced skills in BI tools (e.g., Databricks AI/BI, Tableau, PowerBI), analytics and modeling, and a strong grasp of SQL.
  • Business Acumen: You can identify data gaps in operational processes and systems designs, and can propose solutions to close them.
  • Clear Communicator: You are an excellent communicator, with an ability to synthesize complex information into clear, insightful takeaways and action-oriented recommendations.
  • Culture Champion: You are ready to collaborate closely with colleagues and network across functional areas to foster Databricks' cultural values.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 2 Pay Range

$172,000—$236,500 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Навыки

  • Tableau
  • Workforce Planning
  • SQL
  • Data Analytics
  • Predictive Modeling
  • PowerBI
  • People Analytics
  • Organizational Behavior
  • Databricks AI/BI

Возможные вопросы на собеседовании

Проверка опыта в реализации крупных проектов от идеи до внедрения.

Расскажите о самом масштабном проекте в области People Analytics, который вы вели: от постановки бизнес-задачи до измерения итогового влияния на компанию.

Оценка способности кандидата использовать инструменты Databricks для внутренних нужд.

Как бы вы использовали платформу Databricks для создания предиктивной модели текучести кадров, учитывая специфику технологической компании?

Проверка навыков взаимодействия с топ-менеджментом.

Опишите случай, когда ваши аналитические выводы противоречили мнению руководства. Как вы аргументировали свою позицию и к какому решению пришли?

Оценка технического видения и автоматизации.

Каким образом вы планируете трансформировать разовые запросы на анализ данных в масштабируемые инструменты самообслуживания для руководителей?

Проверка понимания современных методов исследования в HR.

Какие метрики и методы анализа вы считаете наиболее эффективными для оценки вовлеченности и продуктивности сотрудников в условиях гибридной работы?

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databricks
Страна
США
Зарплата
172 000 $ – 236 500 $